PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-19 10:18:47.736095+00:00 (UTC)
In US/Central Time, this is 2024-05-19 05:18:47.736095-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/2568ee8f9c34791dd650a994cd4c54333ac99b3996aee55a9e6556ef30a6b4e7.png
We are just generating a random time serie here.
../../_images/5374138bcf5511fcec3cc717ec99ad7b588bf3b5e09cc47034c3265c171baae7.png
../../_images/254e403cfdce1899b7eb5566ab041d9f4e5afcb0aa5a3eb2ff258b8ac134ddb4.png